一、 ASH
颗粒度最细最常用的诊断工具,通常当问题刚发生时,即可立即根据生成的ash报告诊断问题
下文示例为当问题出现后,查看最近5分钟的性能报告,运行ashrpt脚本后,其他选项直接默认跳过,在Enter value for begin_time选项中填写"-5"
SQL> @ashrpt Current Instance ~~~~~~~~~~~~~~~~ DB Id DB Name Inst Num Instance ----------- ------------ -------- ------------ 1506959389 ORCL1 orcl Specify the Report Type ~~~~~~~~~~~~~~~~~~~~~~~ Enter 'html' for an HTML report, or 'text' for plain text Defaults to 'html' Enter value for report_type: Type Specified: html Instances in this Workload Repository schema ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DB Id Inst Num DB Name InstanceHost ------------ -------- ------------ ------------ ------------ * 1506959389 1 ORCL orcl localhost.lo caldomain Defaults to current database Using database id: 1506959389 Enter instance numbers. Enter 'ALL' for all instances in a RAC cluster or explicitly specify list of instances (e.g., 1,2,3). Defaults to current instance. Using instance number(s): 1 ASH Samples in this Workload Repository schema ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Oldest ASH sample available: 19-Jun-18 19:41:38 [ 52092 mins in the past] Latest ASH sample available: 25-Jul-18 23:52:52 [ 1 mins in the past] Specify the timeframe to generate the ASH report ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Enter begin time for report: -- Valid input formats: --To specify absolute begin time: -- [MM/DD[/YY]] HH24:MI[:SS] -- Examples: 02/23/03 14:30:15 -- 02/23 14:30:15 -- 14:30:15 -- 14:30 --To specify relative begin time: (start with '-' sign) -- -[HH24:]MI -- Examples: -1:15 (SYSDATE - 1 Hr 15 Mins) -- -25 (SYSDATE - 25 Mins) Defaults to -15 mins Enter value for begin_time: -5 Report begin time specified: -5 Enter duration in minutes starting from begin time: Defaults to SYSDATE - begin_time Press Enter to analyze till current time Enter value for duration: Report duration specified: Using 25-Jul-18 23:48:39 as report begin time Using 25-Jul-18 23:53:41 as report end time Specify Slot Width (using ashrpti.sql) for 'Activity Over Time' section ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -- Explanation: -- In the 'Activity Over Time' section of the ASH report, -- the analysis period is divided into smaller slots -- and top wait events are reported in each of those slots. -- Default: -- The analysis period will be automatically split upto 10 slots -- complying to a minimum slot width of -- 1 minute, if the source is V$ACTIVE_SESSION_HISTORY or -- 5 minutes, if the source is DBA_HIST_ACTIVE_SESS_HISTORY. Specify Slot Width in seconds to use in the 'Activity Over Time' section: Defaults to a value as explained above: Slot Width specified: Specify Report Targets (using ashrpti.sql) to generate the ASH report ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -- Explanation: -- ASH Report can accept "Report Targets", -- like a particular SQL statement, or a particular SESSION, -- to generate the report on. If one or more report targets are -- specified, then the data used to generate the report will only be -- the ASH samples that pertain to ALL the specified report targets. -- Default: -- If none of the report targets are specified, -- then the target defaults to all activity in the database instance. Specify SESSION_ID (eg: from V$SESSION.SID) report target: Defaults to NULL: SESSION report target specified: Specify SQL_ID (eg: from V$SQL.SQL_ID) report target: Defaults to NULL: (% and _ wildcards allowed) SQL report target specified: Specify WAIT_CLASS name (eg: from V$EVENT_NAME.WAIT_CLASS) report target: [Enter 'CPU' to investigate CPU usage] Defaults to NULL: (% and _ wildcards allowed) WAIT_CLASS report target specified: Specify SERVICE_HASH (eg: from V$ACTIVE_SERVICES.NAME_HASH) report target: Defaults to NULL: SERVICE report target specified: Specify MODULE name (eg: from V$SESSION.MODULE) report target: Defaults to NULL: (% and _ wildcards allowed) MODULE report target specified: Specify ACTION name (eg: from V$SESSION.ACTION) report target: Defaults to NULL: (% and _ wildcards allowed) ACTION report target specified: Specify CLIENT_ID (eg: from V$SESSION.CLIENT_IDENTIFIER) report target: Defaults to NULL: (% and _ wildcards allowed) CLIENT_ID report target specified: Specify PLSQL_ENTRY name (eg: "SYS.DBMS_LOB.*") report target: Defaults to NULL: (% and _ wildcards allowed) PLSQL_ENTRY report target specified: Specify the Report Name ~~~~~~~~~~~~~~~~~~~~~~~ The default report file name is ashrpt_1_0725_2353.html. To use this name, pressto continue, otherwise enter an alternative. Enter value for report_name: /home/oracle/ash_test.html Using the report name /home/oracle/ash_test.html Summary of All User Input ------------------------- Format : HTML DB Id : 1506959389 Inst num : 1 Begin time : 25-Jul-18 23:48:39 End time : 25-Jul-18 23:53:41 Slot width : Default Report targets : 0 Report name : /home/oracle/ash_test.html
通过结果图可以观察到短时间内引发问题的 sql :
二、 AWR 报告
由oracle的两份快照而产生的差异报告,通常一小时一次,问题情况下可通过手动生成,缩小分析问题时段的范围
一般可在问题出现时以及几分钟后,各运行exec dbms_workload_repository.create_snapshot一次
SQL> exec dbms_workload_repository.create_snapshot; PL/SQL procedure successfully completed. SQL> exec dbms_workload_repository.create_snapshot; PL/SQL procedure successfully completed. SQL> @awrrpt Current Instance ~~~~~~~~~~~~~~~~ DB Id DB Name Inst Num Instance ----------- ------------ -------- ------------ 1506959389 ORCL 1 orcl Specify the Report Type ~~~~~~~~~~~~~~~~~~~~~~~ Would you like an HTML report, or a plain text report? Enter 'html' for an HTML report, or 'text' for plain text Defaults to 'html' Enter value for report_type: Type Specified: html Instances in this Workload Repository schema ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DB Id Inst Num DB Name Instance Host ------------ -------- ------------ ------------ ------------ * 1506959389 1 ORCL orcl localhost.lo caldomain Using 1506959389 for database Id Using 1 for instance number Specify the number of days of snapshots to choose from ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Entering the number of days (n) will result in the most recent (n) days of snapshots being listed. Pressingwithout specifying a number lists all completed snapshots. Enter value for num_days: Listing all Completed Snapshots Snap Instance DB Name Snap Id Snap Started Level ------------ ------------ --------- ------------------ ----- orcl ORCL 21 25 Jul 2018 22:30 1 22 25 Jul 2018 23:42 1 23 25 Jul 2018 23:45 1 24 25 Jul 2018 23:47 1 25 25 Jul 2018 23:49 1 26 25 Jul 2018 23:51 1 27 26 Jul 2018 00:04 1 28 26 Jul 2018 00:07 1 29 26 Jul 2018 00:08 1 30 26 Jul 2018 00:09 1 Specify the Begin and End Snapshot Ids ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Enter value for begin_snap: 29 Begin Snapshot Id specified: 29 Enter value for end_snap: 30 End Snapshot Id specified: 30 Specify the Report Name ~~~~~~~~~~~~~~~~~~~~~~~ The default report file name is awrrpt_1_29_30.html. To use this name, press to continue, otherwise enter an alternative. Enter value for report_name: /home/oracle/awr_test1.html Using the report name /home/oracle/awr_test1.html
根据查看 SQL ordered by CPU Time ,可观察出相应时间段的高 CPU 消耗 SQL
三、 ADDM
与awr类似,依托于快照生成,但有详细的分析建议(可在方法二中手动生成两次快照后使用)
运行exec DBMS_ADDM.ANALYZE_DB()命令时,第2、3参数分别为两次手动生成的快照号
SQL> var task_name varchar2(30); SQL> exec DBMS_ADDM.ANALYZE_DB(:task_name,21,36); PL/SQL procedure successfully completed. SQL> print :task_name TASK_NAME -------------------------------------------------------------------------------- TASK_236 SQL> set long 1000000 pagesize 0; SQL> select dbms_addm.get_report('TASK_236') from dual; 通过报告可以精确的看到性能主要被消耗于哪里,消耗大小,以及事件描述 ADDM Report for Task 'TASK_236' ------------------------------- Analysis Period --------------- AWR snapshot range from 21 to 36. Time period starts at 25-JUL-18 10.30.54 PM Time period ends at 26-JUL-18 10.00.29 PM Analysis Target --------------- Database 'ORCL' with DB ID 1506959389. Database version 11.2.0.4.0. Analysis was requested for all instances, but ADDM analyzed instance orcl, numbered 1 and hosted at localhost.localdomain. See the "Additional Information" section for more information on the requested instances. Activity During the Analysis Period ----------------------------------- Total database time was 1445 seconds. The average number of active sessions was .02. ADDM analyzed 1 of the requested 1 instances. Summary of Findings ------------------- Description Active Sessions Recommendations Percent of Activity ---------------------------------------- ------------------- -------------- - 1 Top SQL Statements .02 | 88.73 4 2 PL/SQL Execution .01 | 41.55 1 3 Unusual "User I/O" Wait Event 0 | 28.78 4 4 Top Segments by "User I/O" and "Cluster" 0 | 28.64 1 5 Undersized instance memory 0 | 23.6 1 6 Sequence Usage 0 | 2.14 1 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Findings and Recommendations ---------------------------- Finding 1: Top SQL Statements Impact is .02 active sessions, 88.73% of total activity. -------------------------------------------------------- SQL statements consuming significant database time were found. These statements offer a good opportunity for performance improvement. Recommendation 1: SQL Tuning Estimated benefit is .01 active sessions, 36.62% of total activity. ------------------------------------------------------------------- Action Run SQL Tuning Advisor on the INSERT statement with SQL_ID "5hrxg25g8bdpd". Related Object SQL statement with SQL_ID 5hrxg25g8bdpd. INSERT INTO T1 VALUES (S_T1_ID.NEXTVAL,DBMS_RANDOM.STRING('u', 10),SYSDATE) Rationale The SQL spent 100% of its database time on CPU, I/O and Cluster waits. This part of database time may be improved by the SQL Tuning Advisor. Rationale Database time for this SQL was divided as follows: 45% for SQL execution, 0% for parsing, 55% for PL/SQL execution and 0% for Java execution. Rationale SQL statement with SQL_ID "5hrxg25g8bdpd" was executed 8000000 times and had an average elapsed time of 0.00004 seconds. Rationale Top level calls to execute the PL/SQL statement with SQL_ID "7j89gjdpf4m4u" are responsible for 100% of the database time spent on the INSERT statement with SQL_ID "5hrxg25g8bdpd". Related Object SQL statement with SQL_ID 7j89gjdpf4m4u. begin for i in 1 .. 1000000 loop insert into t1 values (s_t1_id.Nextval,dbms_random.string('u', 10),sysdate); end loop; end; Recommendation 2: SQL Tuning Estimated benefit is 0 active sessions, 28.87% of total activity. ----------------------------------------------------------------- Action Investigate the ALTER TABLESPACE statement with SQL_ID "6sqc239sgbmqf" for possible performance improvements. You can supplement the information given here with an ASH report for this SQL_ID. Related Object SQL statement with SQL_ID 6sqc239sgbmqf. Rationale The SQL Tuning Advisor cannot operate on ALTER TABLESPACE statements. Rationale Database time for this SQL was divided as follows: 100% for SQL execution, 0% for parsing, 0% for PL/SQL execution and 0% for Java execution. Rationale I/O and Cluster wait for TABLE "SYS.KOTTD$" with object ID 543 consumed 97% of the database time spent on this SQL statement. Recommendation 3: SQL Tuning Estimated benefit is 0 active sessions, 14.08% of total activity. ----------------------------------------------------------------- Action Run SQL Tuning Advisor on the SELECT statement with SQL_ID "a0qbnz3z4x4ns". Related Object SQL statement with SQL_ID a0qbnz3z4x4ns. select * from scott.t1 where name=dbms_random.string('u', 10) Rationale The SQL spent 100% of its database time on CPU, I/O and Cluster waits. This part of database time may be improved by the SQL Tuning Advisor. Rationale Database time for this SQL was divided as follows: 5% for SQL execution, 0% for parsing, 95% for PL/SQL execution and 0% for Java execution. Rationale SQL statement with SQL_ID "a0qbnz3z4x4ns" was executed 2 times and had an average elapsed time of 89 seconds. Recommendation 4: SQL Tuning Estimated benefit is 0 active sessions, 9.15% of total activity. ---------------------------------------------------------------- Action Run SQL Tuning Advisor on the SELECT statement with SQL_ID "gmkaj9nz7vyvw". Related Object SQL statement with SQL_ID gmkaj9nz7vyvw. select * from scott.t3 where name=dbms_random.string('u', 10) Rationale The SQL spent 100% of its database time on CPU, I/O and Cluster waits. This part of database time may be improved by the SQL Tuning Advisor. Rationale Database time for this SQL was divided as follows: 16% for SQL execution, 0% for parsing, 84% for PL/SQL execution and 0% for Java execution. Rationale SQL statement with SQL_ID "gmkaj9nz7vyvw" was executed 2 times and had an average elapsed time of 62 seconds. Finding 2: PL/SQL Execution Impact is .01 active sessions, 41.55% of total activity. -------------------------------------------------------- PL/SQL execution consumed significant database time. Recommendation 1: SQL Tuning Estimated benefit is .01 active sessions, 41.55% of total activity. ------------------------------------------------------------------- Action Tune the entry point PL/SQL "SYS.DBMS_RANDOM.STRING" of type "PACKAGE" and ID 9372. Refer to the PL/SQL documentation for addition information. Rationale 193 seconds spent in executing PL/SQL "SYS.DBMS_RANDOM.RECORD_RANDOM_NUMBER" of type "PACKAGE" and ID 9372. Rationale 193 seconds spent in executing PL/SQL "SYS.DBMS_RANDOM.REPLAY_RANDOM_NUMBER" of type "PACKAGE" and ID 9372. Rationale 111 seconds spent in executing PL/SQL "SYS.DBMS_RANDOM.STRING" of type "PACKAGE" and ID 9372. Rationale 101 seconds spent in executing PL/SQL "SYS.DBMS_RANDOM.VALUE#1" of type "PACKAGE" and ID 9372. Finding 3: Unusual "User I/O" Wait Event Impact is 0 active sessions, 28.78% of total activity. ------------------------------------------------------ Wait event "Data file init write" in wait class "User I/O" was consuming significant database time. Recommendation 1: Application Analysis Estimated benefit is 0 active sessions, 28.78% of total activity. ----------------------------------------------------------------- Action Investigate the cause for high "Data file init write" waits. Refer to Oracle's "Database Reference" for the description of this wait event. Recommendation 2: Application Analysis Estimated benefit is 0 active sessions, 28.78% of total activity. ----------------------------------------------------------------- Action Investigate the cause for high "Data file init write" waits in Module "[email protected] (TNS V1-V3)". Recommendation 3: Application Analysis Estimated benefit is 0 active sessions, 28.78% of total activity. ----------------------------------------------------------------- Action Investigate the cause for high "Data file init write" waits in Service "SYS$USERS". Recommendation 4: Application Analysis Estimated benefit is 0 active sessions, 28.78% of total activity. ----------------------------------------------------------------- Action Investigate the cause for high "Data file init write" waits with P1,P2,P3 ("count, intr, timeout") values "1", "256" and "4294967295" respectively. Symptoms That Led to the Finding: --------------------------------- Wait class "User I/O" was consuming significant database time. Impact is .01 active sessions, 32.41% of total activity. Finding 4: Top Segments by "User I/O" and "Cluster" Impact is 0 active sessions, 28.64% of total activity. ------------------------------------------------------ Individual database segments responsible for significant "User I/O" and "Cluster" waits were found. Recommendation 1: Segment Tuning Estimated benefit is 0 active sessions, 28.64% of total activity. ----------------------------------------------------------------- Action Investigate application logic involving I/O on TABLE "SYS.KOTTD$" with object ID 543. Related Object Database object with ID 543. Action Look at the "Top SQL Statements" finding for SQL statements consuming significant I/O on this segment. For example, the ALTER TABLESPACE statement with SQL_ID "6sqc239sgbmqf" is responsible for 98% of "User I/O" and "Cluster" waits for this segment. Rationale The I/O usage statistics for the object are: 0 full object scans, 2 physical reads, 0 physical writes and 0 direct reads. Symptoms That Led to the Finding: --------------------------------- Wait class "User I/O" was consuming significant database time. Impact is .01 active sessions, 32.41% of total activity. Finding 5: Undersized instance memory Impact is 0 active sessions, 23.6% of total activity. ----------------------------------------------------- The Oracle instance memory (SGA and PGA) was inadequately sized, causing additional I/O and CPU usage. The value of parameter "memory_target" was "300 M" during the analysis period. Recommendation 1: Database Configuration Estimated benefit is 0 active sessions, 14.46% of total activity. ----------------------------------------------------------------- Action Increase memory allocated to the instance by setting the parameter "memory_target" to 450 M. Symptoms That Led to the Finding: --------------------------------- Wait class "User I/O" was consuming significant database time. Impact is .01 active sessions, 32.41% of total activity. Hard parsing of SQL statements was consuming significant database time. Impact is 0 active sessions, 2.07% of total activity. Finding 6: Sequence Usage Impact is 0 active sessions, 2.14% of total activity. ----------------------------------------------------- Sequence cache misses were consuming significant database time. Recommendation 1: Application Analysis Estimated benefit is 0 active sessions, 2.14% of total activity. ---------------------------------------------------------------- Action Investigate application or look at top SQL to find hot sequences. Use a larger cache size for those sequences. Try avoiding the use of the ORDER setting if running RAC. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Additional Information ---------------------- Miscellaneous Information ------------------------- Wait class "Application" was not consuming significant database time. Wait class "Commit" was not consuming significant database time. Wait class "Concurrency" was not consuming significant database time. Wait class "Configuration" was not consuming significant database time. CPU was not a bottleneck for the instance. Wait class "Network" was not consuming significant database time. Session connect and disconnect calls were not consuming significant database time.
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